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Grove Smart Agriculture Kit for Raspberry Pi 4
  • Smart Agriculture Starter Kit for Raspberry Pi 4 Ideal for STEAM Education and Precision Farming
  • Smart Agriculture Starter Kit for Raspberry Pi 4 Ideal for STEAM Education and Precision Farming

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Grove Smart Agriculture Kit for Raspberry Pi 4

$221.60  $97.00
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Product Details

The Grove Smart Agriculture Kit for Raspberry Pi 4 is an amazing tool for students and STEAM education enthusiasts. It's an easy - to - use and budget - friendly hardware kit. Paired with free curriculums and activities, it offers hands - on experience in precision agriculture, from techniques to food production. For STEAM learners, it's a great way to explore AI, Machine learning, and IoT by building a garden monitoring system. It integrates seamlessly with Raspberry Pi 4, equipped with atmospheric and environmental sensors. This allows you to assess soil health, analyze data, and make informed decisions. The IoT devices built by students can connect to custom Microsoft Excel workbooks, collecting real - time data via Excel’s Data Streamer. Students can also build their own Machine Learning models using Lobe.ai to predict plant nutrient deficiencies and identify garden pests. Additionally, it introduces the Microsoft responsible AI framework, engaging students with social and ethical challenges. The FarmBeats for Students Program, a collaboration between Seeed and Microsoft, brings modern farming tools to learners. It combines an affordable hardware kit with curated curriculums and activities, helping students see the connections between modern agriculture tools and new opportunities in food production.

Using this Grove Smart Agriculture Kit for Raspberry Pi 4 is a breeze. First, connect the kit to your Raspberry Pi 4. Make sure all the atmospheric and environmental sensors are properly attached. Once connected, you can start collecting real - time data. Use the custom Microsoft Excel workbooks and Excel’s Data Streamer to gather the data. For learning about AI, Machine learning, and IoT, build your garden monitoring system following the free curriculums. When it comes to building Machine Learning models, head over to Lobe.ai and start applying the techniques to predict plant nutrient issues and spot pests. As for maintenance, keep the sensors clean and dry. Check the connections regularly to ensure stable data collection. And don't forget to update the software on your Raspberry Pi 4 to get the best performance from the kit. Always handle the hardware with care to avoid any damage.


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